Advanced approaches to hot-mix asphalt dynamic modulus prediction

Canadian Journal of Civil Engineering

Volumn 35, Issue 7, 2008, Pages 699-707

  Ceylan, Halil ^a   Gopalakrishnan, Kasthurirangan ^a   Kim, Sunghwan ^a  

^a Iowa State University   (United States)

Author keywords

Artificial neural network; Asphalt; Dynamic (|E*|) modulus; Mechanistic empirical pavement design guide; Prediction model

Indexed keywords

ASPHALT; BACKPROPAGATION; BITUMINOUS MATERIALS; DATABASE SYSTEMS; FOOD PROCESSING; MATHEMATICAL MODELS; NEURAL NETWORKS; PARAMETER ESTIMATION; PAVEMENTS; REGRESSION ANALYSIS; SENSITIVITY ANALYSIS;

ARTIFICIAL NEURAL NETWORK (ANN) MODELS; ARTIFICIAL NEURAL NETWORK (ANNS); DATA POINTS; DYNAMIC MODULUS; HIERARCHICAL LEVELS; HOT MIX ASPHALT (HAM); HOT MIX ASPHALT (HMA) MIXTURES; INPUT PARAMETERS; INPUT VARIABLES; LABORATORY TESTING; LOGICAL STRUCTURING; MATE RIAL PROPERTIES; MODEL PREDICTIONS; NATIONAL COOPERATIVE HIGHWAY RESEARCH PROGRAM; PAVEMENT DESIGN; PREDICTION MODELING; REGRESSION (R2);

FORECASTING;

ARTIFICIAL NEURAL NETWORK; ASPHALT; COMPARATIVE STUDY; DYNAMIC ANALYSIS; MODELING; PAVEMENT; PREDICTION; REGRESSION ANALYSIS;

EID: 48249124272     PISSN: 03151468     EISSN: None     Source Type: Journal    
DOI: 10.1139/L08-016     Document Type: Article

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